Overview
This session offers a comprehensive understanding of Anti-Money Laundering (AML) practices in banking, covering current trends, cutting-edge technologies, and best practices for building robust AML platforms. Part 1 introduces AML importance, explores regulatory trends, and discusses advanced AML technology. Part 2 delves into AML system setup, data analysis techniques, challenges, and machine learning. Part 3 explores innovative AML approaches, evolving applications, and real-world use cases. Attendees will gain essential insights for implementing effective AML strategies, crucial for CTOs and compliance professionals in safeguarding financial systems.
Requirements
You need no more than a desire to learn and take action by purchasing a course right away! That’s all it takes to excel with us.
What You’ll Learn From This Course
Welcome and Course IntroductionBegin the session with introductions, a high-level course overview, and a roadmap for the module on Anti-Money Laundering (AML).
Financial Crime & AML in BankingIntroduce the concept of AML and its importance in combating financial crime within the banking sector.
AML Trends OverviewExplore the evolving landscape of AML regulations and the emerging trends that are shaping the industry.
Exploring Key AML Technology TrendsDiscuss how advanced technologies, like machine learning, are revolutionizing AML compliance.
Introduction to AML and System SetupLearn the core components and considerations for setting up an AML system within a bank.
Real-World Examples: Illustrative AML Use CasesAnalyze practical examples of how AML systems are used to detect and prevent financial crime.
Challenges in Traditional AML SoftwareExplore the limitations of legacy AML software and the need for modernization.
Common AML Reporting PracticesGain insights into standard reporting procedures for AML compliance.
Machine Learning in AMLDiscover how machine learning algorithms can enhance AML detection and risk assessment.
Innovative Approaches to AMLExplore innovative technologies and strategies that are transforming AML compliance.
Changes in AML ApplicationsDiscuss how AML applications are evolving to meet the demands of the ever-changing financial landscape.
Curriculum
1 module · 15 lessons · 1h 55m of video
Introduction, Course Overview, and Module Outline15 Lessons · 115 min
- Financial Crime & AML in Banking11 min
- AML Trends Overview14 min
- Exploring Key AML Technology Trends10 min
- Introduction to AML and System Setup12 min
- Trends in Data Analysis for AML7 min
- Challenges in Traditional AML Software6 min
- Common AML Reporting Practices6 min
- Machine Learning in AML7 min
- Exploring Innovative Approaches to AML12 min
- Changes in AML Applications5 min
- Illustrative AML Use Cases10 min
- Data Lakes in Modern AML Platforms2 min
- Modern AML Reference Architecture3 min
- AML Module Best Practices5 min
This course is one module of The FinTech CTO Program
Get all 22 modules, 173 lessons and a certificate for $399.00 (was $499.00).
Instructor
Vamsi Kiran ChemitigantiInstructor
Vamsi works as an Industry GM at a hyperscaler and has two plus decades of experience on Financial Services, Telco, Edge Computing, Retail and other industry verticals.
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